Tiazofurin modulates lipopolysaccharide-activated microglia in vitro
Bibliographic record
Abstract
Tiazofurin is a purine nucleoside analogue, with a broad spectrum of antitumoral and anti-inflammatory properties. In the present study, we have investigated the effect of tiazofurin on microglial inflammatory response to lipopolysaccharide in vitro. The cytotoxic effect of the drug was examined by sulforhodamine B assay. The Griess method was used to quantify nitrite production. Microglial morphology was assessed by measuring cell body size. Release of the pro-inflammatory cytokines, tumor necrosis factor-?, interleukin-1?, interleukin-6, and the anti-inflammatory cytokine interleukin- 10, were evaluated by enzyme-linked immunosorbent assay. Our data showed that tiazofurin decreased the number of activated microglia, lowered nitric oxide production and reduced the average cell surface of these cells. Tiazofurin reduced tumor necrosis factor-?, interleukin-6 and increased interleukin-10 secretion. Conversely, this drug promoted the release of interleukin-1?. Results obtained in this study indicate that TR displayed both anti- and pro-inflammatory modulation of activated microglia that could be relevant for its antitumor action within the central nervous system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".